Xiaodan Liang

23.4k citations

239 papers · 8.7k · 5 hit papers · h-index 51

Impact in

Computer Vision and Pattern Recognition top 0.05%
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling

Papers in

Computer Vision and Pattern Recognition 177
- Multimodal Machine Learning Applications 85
- Advanced Neural Network Applications 66
- Advanced Image and Video Retrieval Techniques 46
- Human Pose and Action Recognition 30
- Generative Adversarial Networks and Image Synthesis 26
Artificial Intelligence 137
- Domain Adaptation and Few-Shot Learning 69
- Topic Modeling 58
- Natural Language Processing Techniques 35

Co-authors: Liang Lin (60 shared papers)Shuicheng Yan (19 shared papers)Xiaohui Shen (14 shared papers)Jiashi Feng (10 shared papers)Yunchao Wei (15 shared papers)Eric P. Xing (26 shared papers)Xiaojun Chang (28 shared papers)Hang Xu (35 shared papers)
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (17 papers)IEEE Transactions on Neural Networks and Learning Systems (8 papers)IEEE Transactions on Multimedia (6 papers)IEEE Transactions on Image Processing (3 papers)IEEE Transactions on Circuits and Systems for Video Technology (3 papers)
Partner nations: China United States Sweden

In The Last Decade

Xiaodan Liang

218 papers receiving 8.5k citations

Xiaodan Liang's Hit Papers

5 papers align trajectories log scale

Aligning Cyber Space With Physical World: A Comprehensive Survey on Embodied AI 2025 · 17 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 IEEE/ASME Transactions on Mechatronics
2019 Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning
2017 Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
2017 IEEE Transactions on Multimedia
2016 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

Countries citing papers authored by Xiaodan Liang

Since Specialization

Citations

This map shows the geographic impact of Xiaodan Liang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaodan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Liang more than expected).

Fields of papers citing papers by Xiaodan Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaodan Liang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaodan Liang. The network helps show where Xiaodan Liang may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaodan Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaodan Liang Line = papers co-authored together Xiaodan Liang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 239 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Scale-aware Fast R-CNN for Pedestrian Detection IEEE Transactions on Multimedia ·Jianan Li, Xiaodan Liang, ShengMei Shen, Tingfa Xu, Jiashi Feng, Shuicheng Yan Hit paper breakdown →	2017	547
2	Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming‐Ming Cheng, Yao Zhao, Shuicheng Yan Hit paper breakdown →	2017	545
3	STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence ·Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming‐Ming Cheng, Jiashi Feng, Yao Zhao, Shuicheng Yan Hit paper breakdown →	2016	398
4	Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin Hit paper breakdown →	2019	350
5	Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin	2017	293
6	Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xiaodan Liang, Ke Gong, Xiaohui Shen, Liang Lin	2018	229
7	Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation Proceedings of the AAAI Conference on Artificial Intelligence ·Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing	2019	190
8	Deep Human Parsing with Active Template Regression IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xiaodan Liang, Si Liu, Xiaohui Shen, Shuicheng Yan, Luoqi Liu, Jian Dong, Liang Lin	2015	183
9	Attentive Contexts for Object Detection IEEE Transactions on Multimedia ·Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan	2016	179
10	Human Parsing with Contextualized Convolutional Neural Network Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Shuicheng Yan, Si Liu, Jinhui Tang, Liang Lin	2015	150
11	Attention-Aware Face Hallucination via Deep Reinforcement Learning Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li	2017	148
12	Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification Hang Xu, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang	2019	144
13	Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection Xiaodan Liang, Lisa Lee, Eric P. Xing	2017	142
14	Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks RMIT Research Repository (RMIT University Library) ·Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang	2020	135
15	Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu	2021	125
16	Semantic Object Parsing with Local-Global Long Short-Term Memory Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan	2016	117
17	Towards Multi-Pose Guided Virtual Try-On Network Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin	2019	114
18	Recurrent Topic-Transition GAN for Visual Paragraph Generation Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing	2017	112
19	Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation RMIT Research Repository (RMIT University Library) ·Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang	2020	111
20	Proposal-Free Network for Instance-Level Object Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xiaodan Liang, Liang Lin, Yunchao Wei, Xiaohui Shen, Shuicheng Yan	2017	110

About Xiaodan Liang

Xiaodan Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Control and Systems Engineering and Aerospace Engineering, having authored 239 papers that have together received 8.7k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (85 papers), Domain Adaptation and Few-Shot Learning (69 papers), Advanced Neural Network Applications (66 papers), Topic Modeling (58 papers), Advanced Image and Video Retrieval Techniques (46 papers), Natural Language Processing Techniques (35 papers), Human Pose and Action Recognition (30 papers) and Generative Adversarial Networks and Image Synthesis (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.6k citations), Artificial Intelligence (3.7k citations), Health Informatics (81 citations), Media Technology (455 citations) and Computer Graphics and Computer-Aided Design (161 citations). Xiaodan Liang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Liang Lin, Shuicheng Yan, Xiaohui Shen, Jiashi Feng, Yunchao Wei, Eric P. Xing, Xiaojun Chang, Hang Xu, Yao Zhao and Ke Gong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Xiaodan Liang

Xiaodan Liang's Hit Papers

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Fields of papers citing papers by Xiaodan Liang

All Works

About Xiaodan Liang

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